GX & Decarbonization Research

Adam R. Martin, Dilene Mugenzi, Sean C. Thomas +8

Using data from over 39,000 trees in a Canadian temperate forest, this study quantifies how species-specific wood carbon fractions affect carbon stock estimates from tree to forest scales. Compared to generic assumptions (e.g., 50% CF or IP…

Anim-Sampong SD, Abuanor P, Mensah-Bonsu KS

The U.S. clean energy manufacturing sector covers only 26-45% of domestic demand for wind blades, solar cells, and battery cells by 2030-35, while China dominates 60-80% of global markets. This paper proposes the Clean Energy Manufacturing …

Hou J, Zhang P, Lei Y +4

This paper addresses day-ahead scheduling of integrated energy systems (IES) under supply-demand uncertainty, proposing a bi-level quantity-quality coordinated optimization method. It develops a unified energy-carbon-exergy flow model to ch…

Wolowieс T, Pavlova O, Liashenko O +6

This paper identifies the causal effect of EU ETS carbon prices on electricity generation using a panel of 27 member states and differential exposure based on pre-ETS coal shares. It finds that higher carbon prices significantly reduce coal…

Dhital S, Tuladhar N

This study develops a hydration-activated dolomite sorbent for integrated CO2 capture and reverse water-gas shift (ICCU-RWGS) at medium temperatures (400°C). Hydration induces CaO-Ca(OH)2 phase transformation and pore reconstruction, achiev…

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This study examines classification methods for non-financial information in integrated reports, contributing to the organization of disclosure practices. Specific methods and findings are unclear from the abstract, but it may offer insights…

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This study empirically analyzes the relationship between ESG disclosure and financial performance of Japanese firms. It examines how the quality and quantity of disclosure affect firm value and profitability, highlighting the strategic impo…

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This paper examines the impact of integrated reports on a firm's cost of capital. It analyzes how disclosure quality affects investor decisions and potentially reduces capital costs. It may offer implications for Japanese corporate disclosu…

Frankowski, Jan, Stará, Soňa

This qualitative dataset contains anonymized transcripts and notes from 61 interviews and meetings conducted in Poland and Czechia between 2023 and 2025. It explores how housing cooperatives respond to the energy transition and rising energ…

Perazich, Milan

A comprehensive compilation of Canada's public disclosures on CO2 storage, based on primary sources. Includes a census of Alberta monitoring plans and reports, a tonnage series with source tracing, and a disclosure funnel analysis. Highligh…

Lanzini, Andrea, Minuto, Francesco Demetrio, Stolte, Marcel +1

This open-source dataset systematically organizes techno-economic parameters, project examples, technology-application mappings, and references for short- and long-duration energy storage technologies and their grid services. Covering Li-io…

Koukos, Alkiviadis, Kondylatos, Spyros, Nord-Larsen, Thomas +3

This dataset provides wall-to-wall predictions of tree species composition across Denmark at 10 m resolution, generated using machine learning (MLP) trained on national forest inventory data and satellite remote sensing (Sentinel-1, Sentine…

Alanazi, Majed, Hughes, Kevin J., Pourkashanian, Mohamed

This dataset supports verification, multi-dataset validation, and uncertainty quantification of a 1D PEM electrolysis model for gigawatt-scale green hydrogen design. It includes COMSOL polarization exports, digitized experimental points fro…

Shang, Wen-Long, cheng, haibo

This study develops a peak-minimization model integrating bidirectional EV charging (V2G) with distributed solar (rooftop and vehicle-integrated PV). Using UK smart-meter data and the IEEE European test feeder, it shows V2G alone cuts peak …

Habuer, .

To address uncertainty in future energy prices, a Monte Carlo sensitivity analysis was conducted using Oracle Crystal Ball. Annual electricity price escalation, gas price escalation, and feed-in tariff (FIT) changes were defined as probabil…

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This paper analyzes spatiotemporal patterns of GHG emissions from China's waste management sector and proposes pathways to carbon neutrality. It identifies regional and sectoral emission characteristics, informing policy priorities.

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This paper models greenhouse gas mitigation strategies in Australian dairy farming, evaluating the combined effect of stacking current and emerging practices. It aims to quantify the emission reduction potential of integrated approaches, pr…

Efstratios Mikropoulos, Toon van Harmelen, Ernst Worrell +1

This review systematically examines the treatment of materials in energy system models and proposes an integrated energy-material framework for circular economy and decarbonisation pathways. By linking material supply-demand with energy dyn…

Hideaki Obane

This study reveals a significant gap between decarbonization targets and practical solar and wind deployment potential in ASEAN using a high-resolution spatial framework. Integrating building footprints, land use, and offshore data, it show…

Hariprasad Valiya Parambath, Rajesh Mehta, Clare Harvey +6

This paper focuses on scaling up plasma technology for decarbonizing the chemical industry. Plasma technology leverages high temperatures and energy density to electrify and improve efficiency of conventional chemical processes, potentially…